Effectively Prefetching Remote Memory with Leap

Authors: 

Hasan Al Maruf and Mosharaf Chowdhury, University of Michigan
Awarded Best Paper!

Abstract: 

Memory disaggregation over RDMA can improve the performance of memory-constrained applications by replacing disk swapping with remote memory accesses. However, state-of-the-art memory disaggregation solutions still use data path components designed for slow disks. As a result, applications experience remote memory access latency significantly higher than that of the underlying low-latency network, which itself can be too high for many applications.

In this paper, we propose Leap, a prefetching solution for remote memory accesses due to memory disaggregation. At its core, Leap employs an online, majority-based prefetching algorithm, which increases the page cache hit rate. We complement it with a lightweight and efficient data path in the kernel that isolates each application’s data path to the disaggregated memory and mitigates latency bottlenecks arising from legacy throughput-optimizing operations. Integration of Leap in the Linux kernel improves the median and tail remote page access latencies of memory-bound applications by up to 104.04× and 22.62×, respectively, over the default data path. This leads to up to 10.16× performance improvements for applications using disaggregated memory in comparison to the state-of-the-art solutions.

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BibTeX
@inproceedings {254352,
author = {Hasan Al Maruf and Mosharaf Chowdhury},
title = {Effectively Prefetching Remote Memory with Leap},
booktitle = {2020 {USENIX} Annual Technical Conference ({USENIX} {ATC} 20)},
year = {2020},
isbn = {978-1-939133-14-4},
pages = {843--857},
url = {https://www.usenix.org/conference/atc20/presentation/al-maruf},
publisher = {{USENIX} Association},
month = jul,
}

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